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Battery Models Investigation and Evaluation Using a Power Demand Generated from Driving Cycles

Lookup NU author(s): Saad Alateef, Dr Nigel Thomas

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Abstract

This paper investigates how different battery models perform in terms of battery dynamics and state-of-charge (SOC) estimation. We have selected Shepherd and equivalent circuit models to represent the battery pack of lithium-ion batteries in electric vehicles (EVs). We generate the power demand using existing driving cycles to discharge the battery. We conclude that the EC model captures the dynamics of the battery more accurately than the Shepherd model. Nevertheless, both models produce similar results when we assess the SOC estimation.


Publication metadata

Author(s): Alateef S, Thomas N

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 12th EAI International Conference on Performance Evaluation Methodologies and Tools

Year of Conference: 2019

Pages: 189-190

Online publication date: 12/03/2019

Acceptance date: 10/01/2019

Publisher: ACM

URL: https://doi.org/10.1145/3306309.3306341

DOI: 10.1145/3306309.3306341

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450365963


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